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Convergence in Proton Reconstruction Algorithm and final reference tests of Roman pots before installation in LHC. Ayah Massoud Penn State University Supervisor: Hubert Niewiadomski. Outline. Purpose of TOTEM Proton reconstruction Reconstruction results Roman pot detectors Tests:
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Convergence in Proton Reconstruction Algorithm andfinal reference tests of Roman pots before installation in LHC Ayah Massoud Penn State University Supervisor: Hubert Niewiadomski
Outline • Purpose of TOTEM • Proton reconstruction • Reconstruction results • Roman pot detectors • Tests: • Efficiency • Plane alignment • Cluster size • Conclusions
TOTEM(TOTal Elastic Measurement) Purpose: • Measure total p-p cross section to an accuracy of 1% based on Optical Theorem • Measure elastic scattering in the range 10-3<|t|<8 GeV2 • Deeper understanding of proton structure by studying elastic scattering with large momentum transfers
Proton Reconstruction • Complicated software simulates pp and detectors and reconstructs the proton kinematics based on optical models • Since L is measured and need to find G, a minimization algorithm is implemented • My task is to figure out what conditions lead to these divergences and minimize error Fractional momentum change Initial position Horizontal and vertical scattering angles
Conclusions • Within the t-acceptance range, diffractively scattered protons are detected indepdent on their momentum loss • For high momentum loss ( -ksi>0.11) ,due to machine dispersion, diffractively scattered protons can be observed independently of their t-value • Failure occurs in large t independent of ksi
Reference tests of Roman pot detectors before installation in LHC
RP1 (147 m) RP2 (220 m) Roman Pot detectors • Used in detection of very forward protons in movable beam insertions • Each RP unit consists of 3 pots: 2 approaching the beam vertically and 1 approaching it horizontally
Edgeless silicon detector • Each pot consists of a stack of 10 planes of 512 silicon microstrips allowing detection up to 50 mm from their physical edge • This is achieved by a voltage terminating structure that controls the potential distribution between the detector’s sensitive area and the cut edge to have a vanishing potential drop. • Every 8 strips are connected to a VFAT chip that reads the hits.
Selection algorithm of reference tracks • dat file is generated by VFAT chips are hex numbers of each event • xml file clusters strip position, detector id, strip number for each event • I wrote scripts to select events with 7 or more different detector hits and evaluate the position of hit in each plane • This roughly signifies a reference track through the planes
RP1 Efficiency • Efficiency= total hits in 1 detector in a reference track/total hits in reference track
RP1: Alignment Offset: 3 strips Slope:1.02
RP1: Alignment Offset: 5 strips Slope: 0.99
RP2: Efficiency Threshold=15
RP2: Efficiency • A lower threshold improves the efficiency slightly but increases noise Threshold=10
Conclusions • Defects in planes 3,6,8 in RP1 that will be put into consideration when using proton reconstruction and testing • RP2 detectors are working properly under two different thresholds • Detector efficiency is within range of 95% • Alignment in detector planes are in order of 2-5 strips
Acknowledgments • I would like to thank Prof. Jean Krisch, Prof. Myron Campbell, Prof. Homer Neal, Prof. Steven Goldfarb and Jeremy Herr for their help and making this summer program possible • University of Michigan, NSF and Ford Motor Co. for REU funding • All REU students for making it a fun summer
summer is over …. applying to grad school ….